Main
Davide Vitiello
A data enthusiast with the passion for automatization
Education
MSc
ETH Zürich
Zürich, CH
2020 - 2017
- Focused on Data Science and Data Engineering, Dimensionality Reduction and Statistics.
- Tutored by Bradley Nelson, piooneer of Nanorobots.
BSc
Tor Vergata
Rome, IT
2017 - 2014
- Thesis: Large graphs interactions visualization of complex networks based on OWL semantic knowledge. (JS,D3.js,OWL,SPARQL).
Positions Covered
Lead data scientist
Rejuvenate Biomed
Hasselt, BE
current - 2021
- Multiomics, Quality Control of Data, Signature Inverse Matching (Omics) with Network Propagations and Random Walks.
- Data ingestion, REST/GraphQL API, Data formatting and processing. ML: Text classification, Denoising, Text mining and NLP from publications.
- My stack included Tensorflow, Tensorflow GPU with CONDA, Caret, Tidyverse, SciPy, Plumber, Apollo, Shiny, Apache Airflow and Docker.
Data scientist, Statistician
Liverpool University
London, UK
2021 - 2020
- Partial and conditional datasets joining routines with trained conditional prioritization. Datasets analysis of statistical significance, d.sets combinatorial analysis, data visualization.
- The data analysis was primarily done in R and Python, using mostly the libraries: tidyverse (R), pandas (Py).
- The data visualization was primarily done with Javascript (D3.js) and R (ggplot2).
Full stack web developer, Server admin (AWS)
CyQuant AG
Zürich, CH
2018 - 2017
- Quantitative analysis to quantify cyber risk for insurers / reinsurers.
- Visualization and plotting of quantitative data (MongoDB + Angular + D3.js)
- My stack included Javascript, Angular, SQL, MongoDB and Amazon AWS prioprietary tools.